Preface

Cover art: *Moth Cluster IV* (2016), pen, ink and silkscreen on paper, 65 × 140 inches. © James Prosek; image courtesy of the artist.

Figure 0.1: Cover art: Moth Cluster IV (2016), pen, ink and silkscreen on paper, 65 × 140 inches. © James Prosek; image courtesy of the artist.

Approach

Models are at the core of modern phylogenetic biology. Models are usually taught in the context of phylogenetic inference, where they are used to look backward in time. This seems to me a bit like teaching students to master driving in reverse before you show them how to drive forward down a road. Phylogenetic models are generative—they explain how data are created under specific evolutionary processes. They are therefore more intuitive to understand in the context of generating data, proceeding in time from ancestral states forward to future states. I therefore focus first on building an intuitive understanding of models in the context of simulation, and only after that apply models to inference and other tasks that look back in time.

This book is not a comprehensive treatment of phylogenetic biology; it is focused on teaching some of the key concepts and methods. This will provide a foundation for the many other rich areas of the field, from its interfaces with population genetics to comparative genomics to comparative methods at a macroevolutionary scale. It is in no way an overview of all of phylogenetic biology, which has grown into a very large field. Omissions of topics do not imply that they are unimportant.

Using this book

This book is intended both for the self-directed learner and for use in a course.

I wrote it as a text for my course, Phylogenetic Biology (Yale EEB354). We read one chapter a week. We review and discuss the reading on Tuesdays, and then on Thursdays do hands-on work, read papers from the literature, or share student projects.

Distribution

There are several ways you can get this book:

Please submit any errors you find, typos, or suggestions that you have for improving the manuscript to the issue tracker at https://github.com/caseywdunn/phylogenetic_biology/issues.

You are currently reading the First Edition (Version 1.0.0) of the book. Please cite it as follows:

Dunn CW. Phylogenetic Biology. First Edition. New Haven, CT: Casey W. Dunn; 2026. ISBN 979-8-9934524-0-1. https://doi.org/10.5281/zenodo.17267993

This book follows semantic versioning (major.minor.patch). The major version is the edition: a new edition marks a substantial revision and carries a new ISBN, minor versions add or revise content while keeping earlier citations valid, and patch versions make editorial corrections. The online edition at https://dunnlab.org/phylogenetic_biology/ is updated continuously as new versions are released, while each released version is permanently archived on Zenodo through the DOI above.

Other resources

The following sites have a wide variety of material that is relevant to the theory and practice of phylogenetic biology.

The following are some of the many great books for learning more about phylogenetic methods:

  • Baum, D. and Smith, S. (2012). Tree Thinking: An Introduction to Phylogenetic Biology. Roberts Publishers.

  • Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates.

  • Garamszegi, L. Z. (2014). Modern Phylogenetic Comparative Methods and Their Application in Evolutionary Biology. Springer.

  • Paradis, E. (2011). Analysis of Phylogenetics and Evolution with R. Springer.

  • Revell, L. J. and Harmon, L. J. (2022). Phylogenetic Comparative Methods in R. Princeton.

  • Swofford, D. L., Olsen, G. J., Waddell, P. J., and Hillis, D. M. (1996). Phylogenetic inference. In: Molecular Systematics, Second Edition. Eds: D. M. Hillis, C. Moritz, and B. K. Mable. Sinauer Associates.

The following books provide general computational background for the topics covered here:

Acknowledgments

Thanks in particular to the students of Yale EEB354 in 2020, 2022, and 2024. This book started as a collection of lecture notes for this course. The students provided invaluable motivation and feedback. Thanks in particular to Lauren Mellenthin (graduate teaching fellow for the course in 2020), Namrata Ahuja (teaching fellow in 2022), and Dalila Destanovic (teaching fellow in 2024). Other lab members provided very helpful feedback when I posted new chapters. Steve Haddock and Felipe Zapata also provided close reads of most chapters, often within hours of completing first drafts. Nate Grubaugh invited me to share a couple chapters in his course each year. Thanks to Richard Hammack, author of Book of Proof, for his helpful advice on self-publishing to facilitate student access. I am also very grateful to the students and faculty of the Workshop on Molecular Evolution at Woods Hole. Finally, I thank James Prosek for generously allowing me to use his work Moth Cluster IV for the cover.

0.1 License

CC-BY-NC-ND-4.0
CC-BY-NC-ND-4.0

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. It is available to read online for free at https://dunnlab.org/phylogenetic_biology/, ensuring access to all students worldwide. Commercial use by others (e.g., the sale of printed copies by anyone other than the author) is not allowed.

References

Xie, Yihui. 2016. Bookdown: Authoring Books and Technical Documents with R Markdown. Chapman; Hall/CRC. https://bookdown.org/yihui/bookdown.